Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
2
2
16
21
24
16
31
36
44
47
44
37
63
171
350
606
801
920
974
1,144
1,380
1,203
319
'5
'10
'15
'20
'25
Papers (including subtopics)
Boosting Offline Reinforcement Learning with Action Preference Query
ICML 2023
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning
Interspeech 2023
Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks
NeurIPS 2023
Bounding the optimal value function in compositional reinforcement learning
UAI 2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
NeurIPS 2023
Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation
COLT 2023
BRExIt: On Opponent Modelling in Expert Iteration
IJCAI 2023
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics
RSS 2023
Bridging RL Theory and Practice with the Effective Horizon
NeurIPS 2023
Budgeting Counterfactual for Offline RL
NeurIPS 2023
Building a Subspace of Policies for Scalable Continual Learning
ICLR 2023
Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning
EMNLP 2023
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
AISTATS 2023
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller
CoRL 2023
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
NeurIPS 2023
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
CLeaR 2023
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
ICLR 2023
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers?
JMLR 2023
Causal Deep Reinforcement Learning Using Observational Data
IJCAI 2023
Causal Policy Gradient for Whole-Body Mobile Manipulation
RSS 2023
Cell-Free Latent Go-Explore
ICML 2023
CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration
AAAI 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
AAAI 2023
CFlowNets: Continuous Control with Generative Flow Networks
ICLR 2023
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
ICLR 2023